Klasifikasi data Twitter dalam bahasa Indonesia untuk tema konten pada aplikasi Fajr: Studi kasus XYZ = Classification of Twitter data in indonesian languange for content theme Fajr application: Case study XYZ / Ilham Aulia Malik
Ilham Aulia Malik;
Wahyu Catur Wibowo, supervisor; Yova Rudelviyani, supervisor; Indra Budi, examiner; Mohamad Ivan Fanany, co-promotor
([Publisher not identified]
, 2015)
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[ABSTRAK Aplikasi Fajr merupakan aplikasi mobile yang memiliki konten islami denganfitur utama yaitu Fajr Cards. Namun, Fajr Cards belum mampu menarikperhatian pengguna dengan minimnya jumlah pengguna fitur ini. Fajr Cardssebagai fitur yang berbasiskan kepada konten dapat ditingkatkan denganmemberikan konten yang relevan dengan pengguna. Twitter sebagai media sosialmemiliki data real-time dan jumlah yang banyak sehingga dapat menjadi sumberdata aktual untuk dianalisa. Data Twitter dapat dianalisa dengan menggunakantext mining. Salah satunya yaitu text classification atau klasifikasi teks Tujuanpenelitian ini adalah untuk menentukan metode klasifikasi apa yang terbaik untuk klasifikasi tema konten Fajr Cards. Metodologi yang digunakan menggunakan tahapan preprocess Text Mining danpenggunaan metode Text Mining yaitu Text Classification. Hasil yang diharapkan adalah gambaran bagaimana data Twitter diproses untuk proses klasifikasi dan metode klasifikasi apa yang terbaik untuk klasifikasi tema konten Fajr Cards. ABSTRACT Fajr application is a mobile application that contains Islamic contents for moslem daily life. To get more users, the developers create a main feature called Fajr Cards. But, Fajr Cards has not been able to attract users. It is based on the minimum of users that using Fajr Cards. Fajr Cards as a feature based on contents can be improved by adding more content that have relevance value to users. Twitter as microblog social media have real time and a lot of data. Those data can be used as an actual source data for analyze. Text mining such as text classification will be used to analyze the data. The purpose of this research is to get what classification method that suited best for this classification. Methodology that used in this research is Text Mining including preprocess and Text Classification. The expected results is to know what classification method that suited best for Fajr Card?s theme classification.;Fajr application is a mobile application that contains Islamic contents for moslemdaily life. To get more users, the developers create a main feature called FajrCards. But, Fajr Cards has not been able to attract users. It is based on theminimum of users that using Fajr Cards. Fajr Cards as a feature based on contentscan be improved by adding more content that have relevance value to users.Twitter as microblog social media have real time and a lot of data. Those data canbe used as an actual source data for analyze. Text mining such as textclassification will be used to analyze the data. The purpose of this research is toget what classification method that suited best for this classification.Methodology that used in this research is Text Mining including preprocess andText Classification. The expected results is to know what classification method that suited best for Fajr Card?s theme classification.;Fajr application is a mobile application that contains Islamic contents for moslemdaily life. To get more users, the developers create a main feature called FajrCards. But, Fajr Cards has not been able to attract users. It is based on theminimum of users that using Fajr Cards. Fajr Cards as a feature based on contentscan be improved by adding more content that have relevance value to users.Twitter as microblog social media have real time and a lot of data. Those data canbe used as an actual source data for analyze. Text mining such as textclassification will be used to analyze the data. The purpose of this research is toget what classification method that suited best for this classification.Methodology that used in this research is Text Mining including preprocess andText Classification. The expected results is to know what classification method that suited best for Fajr Card?s theme classification., Fajr application is a mobile application that contains Islamic contents for moslemdaily life. To get more users, the developers create a main feature called FajrCards. But, Fajr Cards has not been able to attract users. It is based on theminimum of users that using Fajr Cards. Fajr Cards as a feature based on contentscan be improved by adding more content that have relevance value to users.Twitter as microblog social media have real time and a lot of data. Those data canbe used as an actual source data for analyze. Text mining such as textclassification will be used to analyze the data. The purpose of this research is toget what classification method that suited best for this classification.Methodology that used in this research is Text Mining including preprocess andText Classification. The expected results is to know what classification method that suited best for Fajr Card’s theme classification.] |
 TA-Ilham Aulia Malik.pdf :: Unduh
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| No. Panggil : | TA-Pdf |
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| Subjek : | |
| Penerbitan : | [Place of publication not identified]: [Publisher not identified], 2015 |
| Program Studi : |
| Bahasa : | ind |
| Sumber Pengatalogan : | LibUI ind rda |
| Tipe Konten : | text |
| Tipe Media : | unmediated ; computer |
| Tipe Carrier : | volume ; online resource |
| Deskripsi Fisik : | xii, 78 pages : illustration ; 28 cm + appendix |
| Naskah Ringkas : | |
| Lembaga Pemilik : | Universitas Indonesia |
| Lokasi : | Perpustakaan UI, Lantai 3 |
| No. Panggil | No. Barkod | Ketersediaan |
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| TA-Pdf | 16-17-839063227 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20416213 |
